Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan
Tomohiro Sasaki
1
,
Takayuki Katsube
2
,
Seiichi Hayato
3
,
Shingo Yamaguchi
4
,
Jun Tanaka
5
,
Hiroki Yoshimatsu
6
,
Yushi NAKANISHI
7
,
Atsushi Kitamura
8
,
Hirotaka Watase
6
,
Hideki Suganami
5
,
Nobushige Matsuoka
9
1
Clinical Pharmacology and Pharmacokinetics, Osaka, Japan
|
2
Clinical Pharmacology Science, Eisai Co., Ltd., Tokyo, Japan
|
3
Clinical Development, GlaxoSmithKline K.K., Tokyo, Japan
|
4
Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb K.K., Tokyo, Japan
|
5
Biometrics & Data Management, Pfizer R&D Japan G.K., Tokyo, Japan
|
6
Clinical Data Science Department, Kowa Company, Ltd., Tokyo, Japan
|
7
Clinical Pharmacology, Sumitomo Pharma Co., Ltd., Osaka, Japan
|
8
Pharmacokinetics, Dynamics and Metabolism, Translational Medicine and Early Development, R&D, Sanofi K.K., Tokyo, Japan
|
9
Clinical Pharmacology Development Area, MSD K.K., Tokyo, Japan
|
Publication type: Journal Article
Publication date: 2025-01-06
scimago Q2
wos Q2
SJR: 0.887
CiteScore: 4.8
Impact factor: 2.8
ISSN: 1567567X, 15738744
PubMed ID:
39762622
Abstract
Model-informed drug development (MIDD) is an approach to improve the efficiency of drug development. To promote awareness and application of MIDD in Japan, the Data Science Expert Committee of the Drug Evaluation Committee in the Japan Pharmaceutical Manufacturers Association established a task force, which surveyed MIDD applications for approved products in Japan. This study aimed to reveal the trends and challenges in the use of MIDD by analyzing the survey results. A total of 322 cases approved in Japan between January 2020 and March 2022 as medical products were included in the survey. Modeling analysis was performed in approximately half of the cases (47.8% [154/322]) and formed a major basis for the selection or justification of dosage and administration in approximately one-fourth of the cases [24.2% (78/322)]. Modeling analysis/model-based dose selection was frequently conducted in cases involving monoclonal antibodies, first indication, orphan drugs, and multi-regional trials. Moreover, the survey results indicated that modeling analyses contributed to dose optimization throughout the developmental phases, including changing dose levels from phase II to phase III and dose adjustment in special populations. Japanese data were included in most cases in which modeling analysis was used for dosage selection. Thus, modelling analysis may also address ethnic factors introduced in the ICH E5 and/or E17 guidelines. In summary, this survey is useful for understanding the current status of MIDD use in Japan and for future drug development.
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Sasaki T. et al. Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan // Journal of Pharmacokinetics and Pharmacodynamics. 2025. Vol. 52. No. 1. 10
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Sasaki T., Katsube T., Hayato S., Yamaguchi S., Tanaka J., Yoshimatsu H., NAKANISHI Y., Kitamura A., Watase H., Suganami H., Matsuoka N. Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan // Journal of Pharmacokinetics and Pharmacodynamics. 2025. Vol. 52. No. 1. 10
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TY - JOUR
DO - 10.1007/s10928-024-09954-3
UR - https://link.springer.com/10.1007/s10928-024-09954-3
TI - Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan
T2 - Journal of Pharmacokinetics and Pharmacodynamics
AU - Sasaki, Tomohiro
AU - Katsube, Takayuki
AU - Hayato, Seiichi
AU - Yamaguchi, Shingo
AU - Tanaka, Jun
AU - Yoshimatsu, Hiroki
AU - NAKANISHI, Yushi
AU - Kitamura, Atsushi
AU - Watase, Hirotaka
AU - Suganami, Hideki
AU - Matsuoka, Nobushige
PY - 2025
DA - 2025/01/06
PB - Springer Nature
IS - 1
VL - 52
PMID - 39762622
SN - 1567-567X
SN - 1573-8744
ER -
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@article{2025_Sasaki,
author = {Tomohiro Sasaki and Takayuki Katsube and Seiichi Hayato and Shingo Yamaguchi and Jun Tanaka and Hiroki Yoshimatsu and Yushi NAKANISHI and Atsushi Kitamura and Hirotaka Watase and Hideki Suganami and Nobushige Matsuoka},
title = {Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan},
journal = {Journal of Pharmacokinetics and Pharmacodynamics},
year = {2025},
volume = {52},
publisher = {Springer Nature},
month = {jan},
url = {https://link.springer.com/10.1007/s10928-024-09954-3},
number = {1},
pages = {10},
doi = {10.1007/s10928-024-09954-3}
}